first commit
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@@ -0,0 +1,168 @@
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/** 拼接 API 根路径与相对路径,避免双斜杠 */
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export function joinApiUrl(base, path) {
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const b = String(base || '').replace(/\/+$/, '')
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const p = String(path || '').replace(/^\/+/, '')
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return p ? `${b}/${p}` : b
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}
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function appendQuery(url, data) {
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if (!data || typeof data !== 'object') return url
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const keys = Object.keys(data)
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if (!keys.length) return url
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const qs = keys
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.map((k) => `${encodeURIComponent(k)}=${encodeURIComponent(data[k] ?? '')}`)
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.join('&')
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return url + (url.includes('?') ? '&' : '?') + qs
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}
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function decodeChunkData(data) {
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if (typeof data === 'string') return data
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if (!data) return ''
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if (typeof TextDecoder !== 'undefined' && data instanceof ArrayBuffer) {
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return new TextDecoder('utf-8').decode(new Uint8Array(data))
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}
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if (data instanceof ArrayBuffer) {
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const bytes = new Uint8Array(data)
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let str = ''
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for (let i = 0; i < bytes.length; i++) str += String.fromCharCode(bytes[i])
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try {
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return decodeURIComponent(escape(str))
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} catch (e) {
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return str
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}
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}
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return ''
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}
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/** 从 SSE 文本缓冲中解析并消费完整事件 */
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export function consumeSseBuffer(buffer, onEvent) {
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let rest = buffer
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let idx = rest.indexOf('\n\n')
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while (idx !== -1) {
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const block = rest.slice(0, idx)
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rest = rest.slice(idx + 2)
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let event = 'message'
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let dataLine = ''
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block.split('\n').forEach((line) => {
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if (line.startsWith('event:')) event = line.slice(6).trim()
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else if (line.startsWith('data:')) dataLine += line.slice(5).trim()
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})
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if (dataLine) {
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try {
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onEvent(event, JSON.parse(dataLine))
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} catch (e) {
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onEvent(event, dataLine)
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}
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}
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idx = rest.indexOf('\n\n')
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}
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return rest
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}
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/** 从流式纯文本中提取三餐(支持未写完的最后一行) */
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export function parsePartialDietPlainText(text) {
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const out = {}
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if (!text) return out
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const lineRe = /^(早餐|喝的|午餐|晚餐|提示|少碰)[::]\s*(.*)$/gm
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let match
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while ((match = lineRe.exec(text)) !== null) {
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const key = { '早餐': 'breakfast', '喝的': 'drinks', '午餐': 'lunch', '晚餐': 'dinner', '提示': 'tips', '少碰': 'avoid' }[match[1]]
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const val = (match[2] || '').trim()
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if (key === 'avoid') {
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out.avoid = val.split(/[、,,;;\s]+/).map((s) => s.trim()).filter(Boolean)
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} else {
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out[key] = val
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}
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}
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const tail = text.match(/(?:^|\n)(早餐|喝的|午餐|晚餐|提示|少碰)[::]\s*([^\n]*)$/)
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if (tail) {
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const key = { '早餐': 'breakfast', '喝的': 'drinks', '午餐': 'lunch', '晚餐': 'dinner', '提示': 'tips', '少碰': 'avoid' }[tail[1]]
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const val = (tail[2] || '').trim()
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if (key === 'avoid') {
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if (val) out.avoid = val.split(/[、,,;;\s]+/).map((s) => s.trim()).filter(Boolean)
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} else {
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out[key] = val
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}
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}
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return out
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}
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/** @deprecated 使用 parsePartialDietPlainText */
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export function parsePartialDietJson(text) {
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return parsePartialDietPlainText(text)
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}
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/**
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* SSE 流式请求(微信小程序 enableChunked;其它端走 fallback)
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*
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* @param {object} opts
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* @param {string} opts.baseUrl
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* @param {string} opts.url
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* @param {string} [opts.method]
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* @param {object} [opts.data]
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* @param {function(string, object):void} opts.onEvent
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* @param {function():Promise<object>} [opts.fallback] 不支持流式时的降级请求
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*/
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export function requestAiStream(opts) {
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const {
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baseUrl,
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url,
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method = 'GET',
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data = {},
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onEvent,
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fallback
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} = opts
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// #ifdef MP-WEIXIN
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return new Promise((resolve, reject) => {
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const token = uni.getStorageSync('token') || ''
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let sseBuffer = ''
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let requestUrl = joinApiUrl(baseUrl, url)
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if (method === 'GET') {
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requestUrl = appendQuery(requestUrl, data)
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}
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const task = wx.request({
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url: requestUrl,
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method,
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data: method === 'POST' ? data : {},
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enableChunked: true,
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timeout: 60000,
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header: {
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token,
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'content-type': 'application/x-www-form-urlencoded',
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'Cache-Control': 'no-cache'
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},
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success: (res) => {
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if (res && res.data) {
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sseBuffer += decodeChunkData(res.data)
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sseBuffer = consumeSseBuffer(sseBuffer, onEvent)
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}
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resolve(res)
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},
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fail: (err) => reject(err)
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})
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if (task && typeof task.onChunkReceived === 'function') {
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task.onChunkReceived((res) => {
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sseBuffer += decodeChunkData(res.data)
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sseBuffer = consumeSseBuffer(sseBuffer, onEvent)
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})
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} else if (typeof fallback === 'function') {
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fallback().then(resolve).catch(reject)
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} else {
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reject(new Error('当前环境不支持流式请求'))
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}
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})
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// #endif
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// #ifndef MP-WEIXIN
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if (typeof fallback === 'function') {
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return fallback()
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}
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return Promise.reject(new Error('当前环境不支持流式请求'))
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// #endif
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}
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@@ -0,0 +1,49 @@
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/**
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* 将 SVG 字符串转为小程序可用的 data URL(base64 在真机上更稳定)
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*/
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function utf8ToBytes(str) {
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const encoded = encodeURIComponent(str)
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const bytes = []
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for (let i = 0; i < encoded.length; i++) {
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if (encoded.charCodeAt(i) === 37) {
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bytes.push(parseInt(encoded.substring(i + 1, i + 3), 16))
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i += 2
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} else {
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bytes.push(encoded.charCodeAt(i))
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}
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}
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return new Uint8Array(bytes)
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}
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function bytesToBase64(bytes) {
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if (typeof uni !== 'undefined' && typeof uni.arrayBufferToBase64 === 'function') {
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return uni.arrayBufferToBase64(bytes.buffer)
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}
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if (typeof btoa !== 'undefined') {
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let binary = ''
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for (let i = 0; i < bytes.length; i++) {
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binary += String.fromCharCode(bytes[i])
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}
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return btoa(binary)
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}
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const chars = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'
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let result = ''
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for (let i = 0; i < bytes.length; i += 3) {
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const a = bytes[i]
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const b = i + 1 < bytes.length ? bytes[i + 1] : 0
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const c = i + 2 < bytes.length ? bytes[i + 2] : 0
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result += chars[a >> 2]
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result += chars[((a & 3) << 4) | (b >> 4)]
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result += i + 1 < bytes.length ? chars[((b & 15) << 2) | (c >> 6)] : '='
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result += i + 2 < bytes.length ? chars[c & 63] : '='
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}
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return result
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}
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export function svgToDataUrl(svg) {
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const normalized = String(svg || '').trim()
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if (!normalized) return ''
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const base64 = bytesToBase64(utf8ToBytes(normalized))
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return `data:image/svg+xml;base64,${base64}`
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}
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@@ -0,0 +1,56 @@
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/** 将接口 msg / 异常对象转为可展示的字符串,避免 [object Object] */
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export function formatUserMessage(msg, fallback = '') {
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if (msg == null || msg === '') return fallback
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if (typeof msg === 'string') return msg
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if (typeof msg === 'number' || typeof msg === 'boolean') return String(msg)
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if (Array.isArray(msg)) {
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const parts = msg.map((item) => {
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if (item == null) return ''
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if (typeof item === 'string') return item
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if (typeof item === 'number' || typeof item === 'boolean') return String(item)
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if (typeof item === 'object') {
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return item.msg || item.message || item.error || item.title || item.label || ''
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}
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return String(item)
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}).filter(Boolean)
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return parts.length ? parts.join(';') : fallback
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}
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if (typeof msg === 'object') {
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return msg.msg || msg.message || msg.error || msg.title || msg.label || fallback
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}
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return String(msg)
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}
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export function showUserToast(title, options = {}) {
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const text = formatUserMessage(title, '')
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if (!text) return
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uni.showToast({
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title: text,
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icon: options.icon || 'none',
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duration: options.duration
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})
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}
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export function formatDate(date) {
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const y = date.getFullYear()
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const m = String(date.getMonth() + 1).padStart(2, '0')
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const d = String(date.getDate()).padStart(2, '0')
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return `${y}-${m}-${d}`
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}
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export function parseDate(str) {
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if (!str) return new Date()
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const [y, m, d] = str.split('-').map(Number)
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return new Date(y, (m || 1) - 1, d || 1)
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}
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export function toNumber(v) {
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if (v === null || v === undefined || v === '') return null
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const n = Number(v)
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return Number.isFinite(n) && n !== 0 ? n : null
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}
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export function getWeekday(dateStr) {
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const w = ['周日', '周一', '周二', '周三', '周四', '周五', '周六']
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return w[parseDate(dateStr).getDay()]
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}
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@@ -0,0 +1,58 @@
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/** 控糖树等级配置(前后端算法需保持一致:每级 50 积分,最高 Lv.9) */
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export const TREE_MAX_LEVEL = 9
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export const TREE_XP_PER_LEVEL = 50
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export const TREE_LEVELS = [
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{ level: 0, name: '种子眠', emoji: '🫘', mood: '困困', desc: '稳糖种子在土里打盹' },
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{ level: 1, name: '破土芽', emoji: '🌱', mood: '探头', desc: '探出第一抹新绿' },
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{ level: 2, name: '展两叶', emoji: '🌿', mood: '好奇', desc: '两片嫩叶迎风展' },
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{ level: 3, name: '小树苗', emoji: '🪴', mood: '精神', desc: '身子骨硬朗起来' },
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{ level: 4, name: '青枝繁', emoji: '🌳', mood: '茁壮', desc: '枝叶渐密,元气足' },
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{ level: 5, name: '拔节高', emoji: '🌲', mood: '挺拔', desc: '一节一节往上蹿' },
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{ level: 6, name: '稳糖冠', emoji: '💚', mood: '沉稳', desc: '树冠成形,习惯成自然' },
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{ level: 7, name: '初绽香', emoji: '🌸', mood: '开心', desc: '枝头冒出第一朵花' },
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{ level: 8, name: '漫开花', emoji: '🌺', mood: '灿烂', desc: '花开满枝,越记越稳' },
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{ level: 9, name: '圆满树', emoji: '🏆', mood: '荣耀', desc: '满级大树,习惯大师' }
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]
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const WHISPERS_BY_LEVEL = {
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0: ['种子在睡觉,记一笔就醒啦。', '今天浇第一滴水,芽就要冒出来。'],
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1: ['破土啦!再坚持几天就长高。', '小芽最喜欢规律的记录了。'],
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2: ['两片叶子为你鼓掌。', '空腹餐后都记全,我会长得更快。'],
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3: ['我已经是一棵小树啦。', '家人点赞的时候,我也会发光。'],
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4: ['枝叶越来越密,您真棒。', '连续记录,我会开出更多叶子。'],
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5: ['拔节中!习惯比完美更重要。', '再浇一点水,我就更高啦。'],
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6: ['习惯成自然,树冠成形啦。', '您今天的坚持,小树都记得。'],
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7: ['开花啦!闻到春天的味道了吗?', '稳糖花只开给坚持的人。'],
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8: ['满树花香,您已是控糖达人。', '明天继续来,花儿会更艳。'],
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9: ['满级大树陪您一路稳糖。', '圆满不是终点,习惯才是。']
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}
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export function calcTreeFromPoints(points) {
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const pts = Math.max(0, Number(points) || 0)
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const level = Math.min(TREE_MAX_LEVEL, Math.floor(pts / TREE_XP_PER_LEVEL))
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const xpInLevel = level >= TREE_MAX_LEVEL ? TREE_XP_PER_LEVEL : pts % TREE_XP_PER_LEVEL
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const progress = level >= TREE_MAX_LEVEL ? 100 : Math.round((xpInLevel / TREE_XP_PER_LEVEL) * 100)
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const meta = TREE_LEVELS[level] || TREE_LEVELS[0]
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const nextMeta = level < TREE_MAX_LEVEL ? TREE_LEVELS[level + 1] : null
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const pointsToNext = level >= TREE_MAX_LEVEL ? 0 : TREE_XP_PER_LEVEL - xpInLevel
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return {
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level,
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progress,
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name: meta.name,
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emoji: meta.emoji,
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mood: meta.mood,
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desc: meta.desc,
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xpInLevel,
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xpNeed: TREE_XP_PER_LEVEL,
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pointsToNext,
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nextName: nextMeta?.name || '',
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isMax: level >= TREE_MAX_LEVEL
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}
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}
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export function pickTreeWhisper(level) {
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const lv = Math.min(TREE_MAX_LEVEL, Math.max(0, Number(level) || 0))
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const list = WHISPERS_BY_LEVEL[lv] || WHISPERS_BY_LEVEL[0]
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return list[Math.floor(Math.random() * list.length)]
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}
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@@ -0,0 +1,75 @@
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import { TREE_LEVELS, TREE_MAX_LEVEL, TREE_XP_PER_LEVEL } from './treeLevels.js'
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/** 可选树种:每级 emoji 与 treeLevels.js Lv.0~9 一一对应 */
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export const TREE_SPECIES_LIST = [
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{
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id: 'classic',
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name: '稳糖灵树',
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tagline: '经典路线,从种子到圆满',
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stages: TREE_LEVELS.map((l) => l.emoji)
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},
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{
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id: 'bonsai',
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name: '雅韵盆景',
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tagline: '小巧精致,书桌旁的温柔陪伴',
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stages: ['🫘', '🌱', '🪴', '🎋', '🪴', '🌳', '🎍', '🌸', '🏵️', '🏆']
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},
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{
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||||
id: 'pine',
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name: '苍劲青松',
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tagline: '挺拔向上,越记越稳',
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stages: ['🫘', '🌱', '🌿', '🌲', '🌲', '🌲', '⛰️', '🌲', '🏔️', '🏆']
|
||||
},
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{
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id: 'sakura',
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||||
name: '樱花小树',
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tagline: '坚持打卡,枝头渐开',
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stages: ['🫘', '🌱', '🌿', '🌳', '🌸', '🌸', '🌸', '🌸', '🌺', '🏆']
|
||||
},
|
||||
{
|
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id: 'ginkgo',
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name: '金秋银杏',
|
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tagline: '叶色渐变,见证每一天',
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stages: ['🫘', '🌱', '🍃', '🌳', '🍂', '🍂', '🌳', '🍁', '🌟', '🏆']
|
||||
}
|
||||
]
|
||||
|
||||
export const TREE_SPECIES_STORAGE_KEY = 'tongji_tree_species_v1'
|
||||
|
||||
/** 四项任务全勤时每日最多可领积分(与后端 taskDefs 一致) */
|
||||
export const DAILY_MAX_TASK_POINTS = 40
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||||
|
||||
export function getTreeSpecies(id) {
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||||
return TREE_SPECIES_LIST.find((s) => s.id === id) || TREE_SPECIES_LIST[0]
|
||||
}
|
||||
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||||
export function speciesEmojiAtLevel(speciesId, level) {
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const sp = getTreeSpecies(speciesId)
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||||
const lv = Math.min(TREE_MAX_LEVEL, Math.max(0, Number(level) || 0))
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||||
return sp.stages[lv] || sp.stages[0] || '🌱'
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||||
}
|
||||
|
||||
/** 当前树种成长路线图(供选择面板展示) */
|
||||
export function speciesGrowthRoadmap(speciesId) {
|
||||
const sp = getTreeSpecies(speciesId)
|
||||
return TREE_LEVELS.map((meta, i) => {
|
||||
const xpTotal = i * TREE_XP_PER_LEVEL
|
||||
const daysHint = i === 0
|
||||
? 0
|
||||
: Math.max(1, Math.ceil(xpTotal / DAILY_MAX_TASK_POINTS))
|
||||
return {
|
||||
level: i,
|
||||
name: meta.name,
|
||||
emoji: sp.stages[i] || meta.emoji,
|
||||
desc: meta.desc,
|
||||
xpTotal,
|
||||
daysHint
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
/** 全勤打卡大约多少天满级 */
|
||||
export function estimateDaysToMaxLevel() {
|
||||
const totalXp = TREE_MAX_LEVEL * TREE_XP_PER_LEVEL
|
||||
return Math.max(1, Math.ceil(totalXp / DAILY_MAX_TASK_POINTS))
|
||||
}
|
||||
@@ -0,0 +1,307 @@
|
||||
/**
|
||||
* 健康数据语音文本解析。
|
||||
*
|
||||
* 把语音识别得到的中文口语文本解析为结构化字段:
|
||||
* - 血糖(空腹 / 餐后 / 其他)
|
||||
* - 血压(高压 / 低压 / 西药 / 胰岛素)
|
||||
* - 饮食(早 / 午 / 晚餐 + 备注)
|
||||
* - 运动(类型 / 时长 / 强度)
|
||||
*
|
||||
* 兼容中文数字(六点五 / 一百二十 / 一百二)与阿拉伯数字(6.5 / 120)。
|
||||
* 纯前端解析,无网络依赖,识别失败时返回空对象。
|
||||
*/
|
||||
|
||||
const CN_DIGIT = {
|
||||
零: 0, 〇: 0, 一: 1, 壹: 1, 幺: 1, 二: 2, 贰: 2, 两: 2,
|
||||
三: 3, 叁: 3, 四: 4, 肆: 4, 五: 5, 伍: 5, 六: 6, 陆: 6,
|
||||
七: 7, 柒: 7, 八: 8, 捌: 8, 九: 9, 玖: 9
|
||||
}
|
||||
const CN_UNIT = { 十: 10, 拾: 10, 百: 100, 佰: 100, 千: 1000, 仟: 1000, 万: 10000, 亿: 100000000 }
|
||||
|
||||
/** 中文整数串 → 数字,例如 "一百二十" → 120、"八十" → 80、"十" → 10、"一百二" → 120 */
|
||||
function cnIntToNumber(s) {
|
||||
let total = 0
|
||||
let section = 0
|
||||
let number = 0
|
||||
let hadUnit = false
|
||||
let lastUnit = 0
|
||||
let sawZeroAfterUnit = false
|
||||
for (const ch of s) {
|
||||
if (CN_DIGIT[ch] !== undefined) {
|
||||
number = CN_DIGIT[ch]
|
||||
if (number === 0) sawZeroAfterUnit = true
|
||||
} else if (CN_UNIT[ch] !== undefined) {
|
||||
hadUnit = true
|
||||
const unit = CN_UNIT[ch]
|
||||
lastUnit = unit
|
||||
sawZeroAfterUnit = false
|
||||
if (unit >= 10000) {
|
||||
section = (section + number) * unit
|
||||
total += section
|
||||
section = 0
|
||||
} else {
|
||||
if (number === 0) number = 1 // 十 = 10
|
||||
section += number * unit
|
||||
}
|
||||
number = 0
|
||||
}
|
||||
}
|
||||
// 没有任何单位且为纯数字串(如 "一二零")时按位拼接更符合口语
|
||||
if (!hadUnit && s.length > 1) {
|
||||
let joined = ''
|
||||
for (const ch of s) {
|
||||
if (CN_DIGIT[ch] !== undefined) joined += CN_DIGIT[ch]
|
||||
}
|
||||
if (joined) return Number(joined)
|
||||
}
|
||||
// 口语省略尾部单位:"一百二" → 120、"一千五" → 1500(避开 "一百零五" 这类带零的)
|
||||
if (number > 0 && lastUnit >= 100 && !sawZeroAfterUnit) {
|
||||
number = number * (lastUnit / 10)
|
||||
}
|
||||
return total + section + number
|
||||
}
|
||||
|
||||
/** 中文数字串(含小数点)→ 数字,例如 "六点五" → 6.5 */
|
||||
function cnSeqToNumber(seq) {
|
||||
if (seq.includes('点')) {
|
||||
const parts = seq.split('点')
|
||||
const intPart = parts[0]
|
||||
const decPart = parts.slice(1).join('')
|
||||
const intVal = intPart ? cnIntToNumber(intPart) : 0
|
||||
let decStr = ''
|
||||
for (const ch of decPart) {
|
||||
if (CN_DIGIT[ch] !== undefined) decStr += CN_DIGIT[ch]
|
||||
}
|
||||
if (!decStr) return intVal
|
||||
return Number(`${intVal}.${decStr}`)
|
||||
}
|
||||
return cnIntToNumber(seq)
|
||||
}
|
||||
|
||||
/** 是否包含中文数字字符(用于过滤“点”“重点”等误匹配) */
|
||||
function hasCnDigit(seq) {
|
||||
for (const ch of seq) {
|
||||
if (CN_DIGIT[ch] !== undefined || CN_UNIT[ch] !== undefined) return true
|
||||
}
|
||||
return false
|
||||
}
|
||||
|
||||
/** 把文本中的中文数字段落替换为阿拉伯数字 */
|
||||
export function normalizeNumbers(text) {
|
||||
const raw = String(text || '')
|
||||
return raw.replace(/[零〇一壹幺二贰两三叁四肆五伍六陆七柒八捌九玖十拾百佰千仟万亿点]+/g, (m) => {
|
||||
if (!hasCnDigit(m)) return m
|
||||
const n = cnSeqToNumber(m)
|
||||
return Number.isFinite(n) ? String(n) : m
|
||||
})
|
||||
}
|
||||
|
||||
/** 在文本中找到关键词后紧随的第一个数字 */
|
||||
function numAfter(text, keys) {
|
||||
for (const k of keys) {
|
||||
const i = text.indexOf(k)
|
||||
if (i >= 0) {
|
||||
const rest = text.slice(i + k.length)
|
||||
const m = rest.match(/-?\d+(?:\.\d+)?/)
|
||||
if (m) return m[0]
|
||||
}
|
||||
}
|
||||
return ''
|
||||
}
|
||||
|
||||
/** 关键词后紧随的一段文本(截止到标点或下一个分隔关键词) */
|
||||
function textAfter(text, keys, stopKeys = []) {
|
||||
for (const k of keys) {
|
||||
const i = text.indexOf(k)
|
||||
if (i >= 0) {
|
||||
let rest = text.slice(i + k.length)
|
||||
// 去掉口语连接词
|
||||
rest = rest.replace(/^[是为吃了喝了吃的喝的有打了用了::,,、。\s]+/, '')
|
||||
let end = rest.length
|
||||
const mStop = rest.match(/[,,。.;;!!??\n]/)
|
||||
if (mStop && mStop.index < end) end = mStop.index
|
||||
for (const sk of stopKeys) {
|
||||
const si = rest.indexOf(sk)
|
||||
if (si >= 0 && si < end) end = si
|
||||
}
|
||||
const seg = rest.slice(0, end).trim()
|
||||
if (seg) return seg
|
||||
}
|
||||
}
|
||||
return ''
|
||||
}
|
||||
|
||||
/**
|
||||
* 解析血糖:返回 { fasting_blood_sugar, postprandial_blood_sugar, other_blood_sugar }
|
||||
* 例:"空腹六点五餐后八点二" → { fasting:6.5, postprandial:8.2 }
|
||||
*/
|
||||
export function parseGlucose(raw) {
|
||||
const t = normalizeNumbers(raw)
|
||||
const result = {}
|
||||
const fasting = numAfter(t, ['空腹'])
|
||||
const post = numAfter(t, ['餐后', '饭后'])
|
||||
const other = numAfter(t, ['其他', '随机', '睡前', '凌晨', '夜间', '晚上'])
|
||||
if (fasting) result.fasting_blood_sugar = fasting
|
||||
if (post) result.postprandial_blood_sugar = post
|
||||
if (other) result.other_blood_sugar = other
|
||||
// 没有关键词但只有一个数字 → 视为“其他血糖”
|
||||
if (!fasting && !post && !other) {
|
||||
const nums = t.match(/\d+(?:\.\d+)?/g)
|
||||
if (nums && nums.length === 1) result.other_blood_sugar = nums[0]
|
||||
}
|
||||
return result
|
||||
}
|
||||
|
||||
/**
|
||||
* 解析血压:返回 { systolic_pressure, diastolic_pressure, western_medicine, insulin }
|
||||
* 例:"高压一百二低压八十" → { systolic:120, diastolic:80 }
|
||||
*/
|
||||
export function parseBloodPressure(raw) {
|
||||
const t = normalizeNumbers(raw)
|
||||
const result = {}
|
||||
let sys = numAfter(t, ['高压', '收缩压', '收缩'])
|
||||
let dia = numAfter(t, ['低压', '舒张压', '舒张'])
|
||||
if (!sys || !dia) {
|
||||
const nums = (t.match(/\d{2,3}/g) || [])
|
||||
.map(Number)
|
||||
.filter((n) => n >= 30 && n <= 300)
|
||||
if (!sys && !dia && nums.length >= 2) {
|
||||
sys = String(nums[0])
|
||||
dia = String(nums[1])
|
||||
} else if (!sys && nums.length === 1 && nums[0] >= 90) {
|
||||
sys = String(nums[0])
|
||||
}
|
||||
}
|
||||
// 高压应不低于低压,顺序异常时交换
|
||||
if (sys && dia && Number(sys) < Number(dia)) {
|
||||
const tmp = sys
|
||||
sys = dia
|
||||
dia = tmp
|
||||
}
|
||||
if (sys) result.systolic_pressure = sys
|
||||
if (dia) result.diastolic_pressure = dia
|
||||
|
||||
const insulin = textAfter(raw, ['胰岛素'], ['高压', '低压', '血压', '西药', '备注'])
|
||||
if (insulin) result.insulin = insulin
|
||||
const western = textAfter(raw, ['西药', '降糖药', '口服药'], ['胰岛素', '高压', '低压', '血压', '备注'])
|
||||
if (western) result.western_medicine = western
|
||||
return result
|
||||
}
|
||||
|
||||
const DIET_MARKERS = [
|
||||
{ keys: ['早餐', '早饭', '早上', '早点', '早晨'], field: 'breakfast_foods' },
|
||||
{ keys: ['午餐', '午饭', '中午'], field: 'lunch_foods' },
|
||||
{ keys: ['晚餐', '晚饭', '晚上', '夜宵', '夜里'], field: 'dinner_foods' }
|
||||
]
|
||||
|
||||
function cleanFoodSeg(seg) {
|
||||
return String(seg || '')
|
||||
.replace(/^[是为吃了吃的喝了喝的有::,,、。\s]+/, '')
|
||||
.replace(/[。.\s]+$/, '')
|
||||
.trim()
|
||||
}
|
||||
|
||||
/**
|
||||
* 解析饮食:返回 { breakfast_foods, lunch_foods, dinner_foods, note }
|
||||
* 例:"早餐鸡蛋粥中午米饭炒青菜晚上面条" → 分别归位
|
||||
* 无餐别关键词时整句写入 note
|
||||
*/
|
||||
export function parseDiet(raw) {
|
||||
const t = String(raw || '').trim()
|
||||
const result = {}
|
||||
const hits = []
|
||||
DIET_MARKERS.forEach((m) => {
|
||||
for (const k of m.keys) {
|
||||
const idx = t.indexOf(k)
|
||||
if (idx >= 0) {
|
||||
hits.push({ idx, field: m.field, klen: k.length })
|
||||
break
|
||||
}
|
||||
}
|
||||
})
|
||||
if (!hits.length) {
|
||||
if (t) result.note = t
|
||||
return result
|
||||
}
|
||||
hits.sort((a, b) => a.idx - b.idx)
|
||||
hits.forEach((h, i) => {
|
||||
const start = h.idx + h.klen
|
||||
const end = i + 1 < hits.length ? hits[i + 1].idx : t.length
|
||||
const seg = cleanFoodSeg(t.slice(start, end))
|
||||
if (seg && !result[h.field]) result[h.field] = seg
|
||||
})
|
||||
// 第一个餐别关键词之前的内容作为备注
|
||||
const head = cleanFoodSeg(t.slice(0, hits[0].idx))
|
||||
if (head) result.note = head
|
||||
return result
|
||||
}
|
||||
|
||||
const EXERCISE_FILLERS = [
|
||||
'今天', '我', '做了', '做', '进行了', '进行', '运动了', '运动', '锻炼了', '锻炼',
|
||||
'了', '大概', '左右', '持续', '差不多', '一共', '总共', '的', '走了', '打了', '跑了'
|
||||
]
|
||||
|
||||
/**
|
||||
* 解析运动:返回 { exercise_type, duration, intensity }
|
||||
* 例:"散步三十分钟中强度" → { type:'散步', duration:30, intensity:2 }
|
||||
*/
|
||||
export function parseExercise(raw) {
|
||||
const t = normalizeNumbers(raw)
|
||||
const result = {}
|
||||
|
||||
const durMatch = t.match(/(\d+(?:\.\d+)?)\s*(个小时|小时|钟头|时|分钟|分)/)
|
||||
if (durMatch) {
|
||||
const val = parseFloat(durMatch[1])
|
||||
const isHour = /个小时|小时|钟头|时/.test(durMatch[2])
|
||||
result.duration = String(Math.round(isHour ? val * 60 : val))
|
||||
}
|
||||
|
||||
if (/高强度|剧烈|很累|大汗|气喘/.test(t)) result.intensity = 3
|
||||
else if (/中强度|中等强度|中等|有点累|微微出汗|微汗/.test(t)) result.intensity = 2
|
||||
else if (/低强度|轻松|轻微|溜达|缓慢/.test(t)) result.intensity = 1
|
||||
|
||||
// 运动类型:移除时长、强度、填充词后剩余文本
|
||||
let type = t
|
||||
if (durMatch) type = type.replace(durMatch[0], '')
|
||||
type = type
|
||||
.replace(/高强度|中强度|中等强度|低强度|剧烈|很累|大汗|气喘|有点累|微微出汗|微汗|轻松|轻微|缓慢/g, '')
|
||||
.replace(/\d+(?:\.\d+)?/g, '')
|
||||
.replace(/[,,。.;;、\s]+/g, '')
|
||||
EXERCISE_FILLERS.forEach((f) => {
|
||||
type = type.split(f).join('')
|
||||
})
|
||||
type = type.trim()
|
||||
if (type && type.length <= 20) result.exercise_type = type
|
||||
return result
|
||||
}
|
||||
|
||||
const FIELD_LABELS = {
|
||||
fasting_blood_sugar: '空腹',
|
||||
postprandial_blood_sugar: '餐后',
|
||||
other_blood_sugar: '其他血糖',
|
||||
systolic_pressure: '高压',
|
||||
diastolic_pressure: '低压',
|
||||
western_medicine: '西药',
|
||||
insulin: '胰岛素',
|
||||
breakfast_foods: '早餐',
|
||||
lunch_foods: '午餐',
|
||||
dinner_foods: '晚餐',
|
||||
note: '备注',
|
||||
exercise_type: '运动',
|
||||
duration: '时长',
|
||||
intensity: '强度'
|
||||
}
|
||||
|
||||
const INTENSITY_LABELS = { 1: '低强度', 2: '中强度', 3: '高强度' }
|
||||
|
||||
/** 把解析结果转成可读的反馈文案,例如 "空腹6.5 · 餐后8.2" */
|
||||
export function summarizeParsed(parsed) {
|
||||
const parts = []
|
||||
Object.keys(parsed).forEach((k) => {
|
||||
const label = FIELD_LABELS[k] || k
|
||||
let val = parsed[k]
|
||||
if (k === 'intensity') val = INTENSITY_LABELS[val] || val
|
||||
parts.push(`${label}${val}`)
|
||||
})
|
||||
return parts.join(' · ')
|
||||
}
|
||||
Reference in New Issue
Block a user